Senior AI Engineer

Leidos LLC; Rockville (MD); Hybrid; USD 131,000 - 237,000; Full time

Benefits offered by this job

Health and Wellness programs

Paid Leave and Retirement

Job summary

Leidos is seeking a Senior AI Engineer to accelerate AI/ML initiatives supporting the Defense Intelligence Agency. You will help develop and operationalize AI systems, collaborating with analysts, engineers, and developers to deliver production-ready algorithms and platforms.

You will work on cutting-edge techniques across analytics, AI orchestration, and scalable deployment, in a flexible environment that supports remote and on-site work in the National Capital Region.

Qualifications

• Bachelor’s, Master’s, or equivalent in a quantitative/analytical field. Substitution allowed.
• 12+ years in data science/analytics/artificial intelligence with 4+ years post-master.
• Active TS/SCI with Polygraph eligibility.
• Experience collaborating with hybrid teams to build analytical platforms.
• Proven track record in creative problem solving and mission-focused outcomes.
• Experience with production AI/ML, LLMOps, RAG architectures, and Kubernetes-based deployments.

Responsibilities

• Support development and operationalization of AI/agentic AI systems in production environments.
• Collaborate with analysts, engineers, and developers to deliver production-ready algorithms and platforms.
• Apply advanced analytics methods including predictive analytics, entity resolution, and explainable AI.
• Integrate AI with DevSecOps, data engineering, and cybersecurity in a fast-paced environment.

Skills

AI/ML Eng

MLOps

Kubernetes

Python

Data analytics

Team collaboration

Education

Bachelor’s degree (quantitative)

Master’s degree preferred

Tools

Azure/C2S

OpenAI APIs

GPU optimization

Python development

Job description

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Join Leidos’ all-star team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level.

As a Senior AI Engineer, you will:

• Support the development and operationalization of AI and agentic AI systems in production mission environments.
• Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
• Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
• Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.

Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).

What You Bring:

• Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree.
• 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master’s).
• Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
• Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
• Track record of creative problem solving, active learning, and mission-focused outcomes.
• Experience with the following: AI/ML production engineering LLMOps / MLOps RAG architectures AI orchestration frameworks Kubernetes-based AI deployments OpenAI-compatible APIs Python development GPU inference optimization

Preferred Qualifications:

• Experience supporting military or intelligence community customers.
• Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
• Familiarity with the following technologies LangGraph Semantic Kernel vLLM Ollama Ray NVIDIA GPU ecosystems Vector databases #ASBA #NMEC-Leidos

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Original Posting:

June 25, 2026

For U.S. Positions:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $17.2 billion for the fiscal year ended January 2, 2026. For more information, visit www.Leidos.com.

Pay and Benefits

• Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement.

Securing Your Data

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [e-mail].

Commitment and Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.